Md Nasir

849 total citations
32 papers, 618 citations indexed

About

Md Nasir is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Md Nasir has authored 32 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Experimental and Cognitive Psychology and 6 papers in Signal Processing. Recurrent topics in Md Nasir's work include Emotion and Mood Recognition (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Speech and Audio Processing (4 papers). Md Nasir is often cited by papers focused on Emotion and Mood Recognition (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Speech and Audio Processing (4 papers). Md Nasir collaborates with scholars based in United States, India and Singapore. Md Nasir's co-authors include Swagatam Das, Panayiotis Georgiou, Soumyadip Sengupta, Ponnuthurai Nagaratnam Suganthan, Udit Halder, Dipankar Maity, Shubhashis Sengupta, Witold Pedrycz, Athanasios V. Vasilakos and Shrikanth Narayanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Animal Behaviour.

In The Last Decade

Md Nasir

30 papers receiving 606 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Md Nasir United States 10 260 135 135 128 84 32 618
Marko Horvat Croatia 14 213 0.8× 24 0.2× 206 1.5× 154 1.2× 32 0.4× 66 697
Noriko Iwasaki United Kingdom 10 172 0.7× 51 0.4× 85 0.6× 218 1.7× 306 3.6× 35 760
Félix Ramos Mexico 12 197 0.8× 19 0.1× 45 0.3× 27 0.2× 87 1.0× 88 612
Yue Gu China 14 234 0.9× 8 0.1× 192 1.4× 80 0.6× 63 0.8× 57 620
Bruce A. Whitehead United States 9 338 1.3× 37 0.3× 29 0.2× 25 0.2× 37 0.4× 16 604
Ángel G. Andrade Mexico 14 133 0.5× 52 0.4× 13 0.1× 235 1.8× 237 2.8× 58 636
Mobyen Uddin Ahmed Sweden 11 227 0.9× 11 0.1× 65 0.5× 78 0.6× 27 0.3× 41 643
D. R. Reddy United States 16 623 2.4× 29 0.2× 163 1.2× 41 0.3× 32 0.4× 59 1.2k
Kurt Plarre United States 11 155 0.6× 7 0.1× 127 0.9× 195 1.5× 111 1.3× 16 622
Geert-Jan M. Kruijff Germany 16 536 2.1× 19 0.1× 49 0.4× 57 0.4× 15 0.2× 66 870

Countries citing papers authored by Md Nasir

Since Specialization
Citations

This map shows the geographic impact of Md Nasir's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Md Nasir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Nasir more than expected).

Fields of papers citing papers by Md Nasir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Nasir. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Md Nasir. The network helps show where Md Nasir may publish in the future.

Co-authorship network of co-authors of Md Nasir

This figure shows the co-authorship network connecting the top 25 collaborators of Md Nasir. A scholar is included among the top collaborators of Md Nasir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Md Nasir. Md Nasir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miao, Zhongqi, Yuanhan Zhang, Sara Beery, et al.. (2025). New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models. Methods in Ecology and Evolution. 17(2). 238–256. 1 indexed citations
2.
3.
Nasir, Md, Yixi Xu, Kyle Hasenstab, et al.. (2025). Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study. PLoS ONE. 20(8). e0328867–e0328867.
4.
Ferres, Juan Lavista, et al.. (2023). Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy. Archives of Public Health. 81(1). 137–137. 1 indexed citations
5.
Nasir, Md, et al.. (2023). Using Data Science and a Health Equity Lens to Identify Long-COVID Sequelae Among Medically Underserved Populations. Journal of Health Care for the Poor and Underserved. 34(2). 521–534. 2 indexed citations
6.
Kshirsagar, Meghana, Md Nasir, Sumit Mukherjee, et al.. (2022). The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data. JMIR Public Health and Surveillance. 8(11). e38898–e38898. 6 indexed citations
7.
Nasir, Md, et al.. (2022). Recognition of human emotion transition from video sequence using triangulation induced various centre pairs distance signatures. Applied Soft Computing. 134. 109971–109971. 6 indexed citations
8.
Miah, Jonayet, et al.. (2022). MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning Models. 584–589. 23 indexed citations
9.
Nasir, Md, et al.. (2022). Interpersonal synchrony across vocal and lexical modalities in interactions involving children with autism spectrum disorder. SHILAP Revista de lepidopterología. 2(9). 95202–95202. 7 indexed citations
10.
11.
Ferres, Juan Lavista, et al.. (2021). Social connectedness and movements among communities of giraffes vary by sex and age class. Animal Behaviour. 180. 315–328. 13 indexed citations
12.
Nasir, Md, Brian Baucom, Craig J. Bryan, Shrikanth Narayanan, & Panayiotis Georgiou. (2020). Modeling Vocal Entrainment in Conversational Speech Using Deep Unsupervised Learning. IEEE Transactions on Affective Computing. 13(3). 1651–1663. 7 indexed citations
13.
Dutta, Paramartha, et al.. (2020). Human Emotion Classification: An Expression Specific Geometric Approach. 23. 217–221. 1 indexed citations
14.
Nasir, Md, Brian Baucom, Panayiotis Georgiou, & Shrikanth Narayanan. (2017). Predicting couple therapy outcomes based on speech acoustic features. PLoS ONE. 12(9). e0185123–e0185123. 20 indexed citations
15.
Nasir, Md, Brian Baucom, Craig J. Bryan, Shrikanth Narayanan, & Panayiotis Georgiou. (2017). Complexity in Speech and its Relation to Emotional Bond in Therapist-Patient Interactions During Suicide Risk Assessment Interviews. 3296–3300. 11 indexed citations
16.
17.
Kumar, Naveen, Md Nasir, Panayiotis Georgiou, & Shrikanth Narayanan. (2016). Robust Multichannel Gender Classification from Speech in Movie Audio. 2233–2237. 5 indexed citations
18.
Kim, Jangwon, Md Nasir, Rahul Gupta, et al.. (2015). Automatic estimation of Parkinson's disease severity from diverse speech tasks. 914–918. 18 indexed citations
19.
Sengupta, Soumyadip, Swagatam Das, Md Nasir, Athanasios V. Vasilakos, & Witold Pedrycz. (2012). Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance. 1–8. 8 indexed citations
20.
Nasir, Md, Swagatam Das, Dipankar Maity, et al.. (2012). A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization. Information Sciences. 209. 16–36. 184 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026