• L.A. Renier, K. Shubham, R.S. Vijay, E.P. Kleinlogel, D. Jayagopi, M.S. Mast, S.S. Mishra. Gaze, Nod, and Smile for Success. A Deepfake-Based Study on Facial Expressiveness and Social Outcomes, accepted for publication in Nature Scientific Reports (Impact factor 4.6)
  • A. Abedi, C. Thomas, D. Jayagopi and S. Khan. Bag of States: A Non-sequential Approach to Video-based Engagement Measurement, accepted for publication in Multimedia Systems (Impact Factor: 3.9)
  • E. Kleinlogel, M. Schmid Mast, D. Jayagopi, K. Shubham and A. Butera. The Interviewer is a Machine! Investigating the Effects of Conventional and Technology-Mediated Interview Methods on Interviewee Reactions and Behavior, published in WILEY International Journal of Selection and Assessment, May 2023. Impact factor: 2.410
  • E. Kleinlogel, L. Renier, M. Schmid Mast, D. Jayagopi and K. Shubham. From Low Invasiveness to High Control: How Artificial Intelligence Allows to Generate a Large Pool of Standardized Corpora at a Lesser Cost, published as METHODS article, Front. Computer Science, Sec. Human-Media Interaction, Volume 5 – 2023
  • A. Sharma and D. Jayagopi. Full-Page Handwriting Recognition and Automated Essay Scoring for in-the-wild Essays,  published in Multimedia Tools and Applications, March 2023 (Impact Factor:  2.6). According to Google Scholar metrics, this venue is the best in “Multimedia” category.
  • C. Thomas and D. Jayagopi. Predicting Presentation Skill of a Speaker Using Automatic Speaker and Audience Measurement,  published in IEEE Transactions on Learning Technologies 2022 (Impact Factor:  3.7).
  • C. Thomas and D. Jayagopi. Automatic Prediction of Presentation Style and Student Engagement from Videos,  accepted in Computers and Education: Artificial Intelligence Journal 2022 (Impact factor of 8.5). According to Google Scholar metrics, this venue is the best in “Educational Technology” category.
  • A. Sharma and D. Jayagopi. Towards efficient unconstrained handwriting recognition using Dilated Temporal Convolution Network, accepted for publication in Expert Systems with Applications, Feb 2021 (Impact Factor: 6.9).
  • Manjunath K E, Raghavan, S. K., K S Rao, D. Jayagopi, Ramasubramanian V Approaches for multilingual phone recognition in code-switched and non-code-switched scenarios using Indian languages, published in ACM Transactions on Asian and Low-resource Language Information Processing, 2021(Impact Factor: 1.4)
  • P. Rao, M. Agnihotri, D. Jayagopi. Improving Asynchronous Interview Interaction with Follow-up Question Generation, accepted for publication in The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020 (Impact Factor: 3.14)
  • Manjunath K E, D. Jayagopi, K S Rao, Ramasubramanian V Articulatory-feature-based methods for performance improvement of Multilingual Phone Recognition Systems using Indian languages, published in Sādhanā 45 (1), 1-14, 2020(Impact Factor: 0.77).
  • S. Rasipuram and D. Jayagopi. Automatic multimodal assessment of soft skills in social interactions: a review ,  published in Springer Multimedia Tools and Applications 2020 (Impact Factor:  3.2).
  • Manjunath K E, D. Jayagopi, K S Rao, Ramasubramanian V Development and Analysis of Multilingual Phone Recognition Systems using Indian Languages, accepted for publication in Springer International Journal of Speech Technology, 2020(Impact Factor: 0.9).
  • S. Rasipuram and D. Jayagopi. Automatic assessment of communication skill in interview-based interactions,  published in Springer Multimedia Tools and Applications 2018 (Impact Factor:  3.2).
  • D. Sanches-Cortes, O. Aran, D. Jayagopi, M. Schmid-Mast, and D. Gatica-Perez. Emergent leaders through looking and speaking: from audio-visual  data  to multimodal  recognition,  published in Springer  Journal on Multimodal User Interfaces,  2012 (Impact Factor:  2.0).
  • D. Jayagopi, T. Kim, Alex (Sandy) Pentland, and  D. Gatica-Perez.  Privacy-sensitive recognition  of group conversational context  with sociometers,  Springer  Multimedia  Systems,  2012, Volume 18, Number  1, Pages 3-14 (Impact Factor:  1.9). Collaboration: MIT MEDIA LAB
  • D. Jayagopi, and D.  Gatica-Perez.   Mining  group  nonverbal  conversational patterns using probabilistic  topic models, IEEE  Transactions on Multimedia, 2010, 12(8), 790-802 (Impact Factor:  5.5).
  • D. Jayagopi, H. Hung, C.  Yeo, and  D. Gatica-Perez.  Modeling dominance  in  group conversations from  nonverbal  activity  cues,  IEEE  Transactions on Audio,  Speech  and Language  Processing,  2009,17(3), 501-513 (Impact Factor:  3.5) (235 Google Scholar citations).
  • K. Rajgopal, J. Dinesh Babu, and S. Venkataraman, Generalized adaptive  IFIR  filter bank structures, Elsevier Signal Processing,  2007, 87(7), 1575-1596 (Impact Factor:  1.931).


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