Vivek V. Datla

930 total citations
23 papers, 292 citations indexed

About

Vivek V. Datla is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Vivek V. Datla has authored 23 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Molecular Biology and 2 papers in Computer Networks and Communications. Recurrent topics in Vivek V. Datla's work include Topic Modeling (14 papers), Biomedical Text Mining and Ontologies (9 papers) and Natural Language Processing Techniques (8 papers). Vivek V. Datla is often cited by papers focused on Topic Modeling (14 papers), Biomedical Text Mining and Ontologies (9 papers) and Natural Language Processing Techniques (8 papers). Vivek V. Datla collaborates with scholars based in United States, Finland and India. Vivek V. Datla's co-authors include Joey Liu, Kathy Lee, Ashequl Qadir, Oladimeji Farri, Sadid A. Hasan, Qishi Wu, Aaditya Prakash, Sajjan G. Shiva, Sankardas Roy and Charles D. Ellis and has published in prestigious journals such as Cognitive Science, eScholarship (California Digital Library) and International Joint Conference on Artificial Intelligence.

In The Last Decade

Vivek V. Datla

22 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vivek V. Datla United States	10	179	76	61	49	27	23	292
Richard F. E. Sutcliffe United Kingdom	14	390 2.2×	87 1.1×	13 0.2×	68 1.4×	53 2.0×	54	567
Esra Akbaş United States	9	137 0.8×	39 0.5×	78 1.3×	68 1.4×	20 0.7×	33	333
Ashish Ranjan India	7	90 0.5×	53 0.7×	39 0.6×	31 0.6×	12 0.4×	21	283
Cedric De Boom Belgium	7	137 0.8×	11 0.1×	16 0.3×	38 0.8×	27 1.0×	19	227
Shaowu Zhang China	8	229 1.3×	86 1.1×	9 0.1×	62 1.3×	4 0.1×	27	309
Cláudia Antunes Portugal	10	105 0.6×	41 0.5×	28 0.5×	112 2.3×	11 0.4×	32	239
B. Johnson United Kingdom	5	94 0.5×	21 0.3×	46 0.8×	91 1.9×	6 0.2×	7	426
Jared Sylvester United States	9	203 1.1×	12 0.2×	103 1.7×	60 1.2×	45 1.7×	14	323
Chuan Shi China	11	210 1.2×	24 0.3×	65 1.1×	134 2.7×	9 0.3×	19	294
Reda Mohamed Hamou Algeria	10	201 1.1×	22 0.3×	37 0.6×	83 1.7×	6 0.2×	60	285

Countries citing papers authored by Vivek V. Datla

Since Specialization

Citations

This map shows the geographic impact of Vivek V. Datla'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 Vivek V. Datla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek V. Datla more than expected).

Fields of papers citing papers by Vivek V. Datla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vivek V. Datla. 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 Vivek V. Datla. The network helps show where Vivek V. Datla may publish in the future.

Co-authorship network of co-authors of Vivek V. Datla

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek V. Datla. A scholar is included among the top collaborators of Vivek V. Datla 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 Vivek V. Datla. Vivek V. Datla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Khan, Md Abdullah Al Hafiz, Nevenka Dimitrova, Sadid A. Hasan, et al.. (2019). Improving Disease Named Entity Recognition for Clinical Trial Matching. 1 indexed citations

Hasan, Sadid A., Joey Liu, Ling Yuan, et al.. (2018). Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification.. International Joint Conference on Artificial Intelligence. 45–52. 5 indexed citations

Yuan, Ling, Sadid A. Hasan, Vivek V. Datla, et al.. (2017). Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study. 271–285. 18 indexed citations

Hasan, Sadid A., Ling Yuan, Joey Liu, et al.. (2017). PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks.. CLEF (Working Notes). 9 indexed citations

Yuan, Ling, Sadid A. Hasan, Vivek V. Datla, et al.. (2017). Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning. International Joint Conference on Natural Language Processing. 1. 895–905. 10 indexed citations

Datla, Vivek V., Joey Liu, Sadid A. Hasan, et al.. (2017). Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing.. Text REtrieval Conference. 2 indexed citations

Yuan, Ling, Sadid A. Hasan, Michele Filannino, et al.. (2017). A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.. Text REtrieval Conference. 2 indexed citations

Lee, Kathy, Ashequl Qadir, Sadid A. Hasan, et al.. (2017). Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks. 705–714. 72 indexed citations

Lee, Kathy, Ashequl Qadir, Vivek V. Datla, et al.. (2016). Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification.. Text REtrieval Conference.

10.

Pavalanathan, Umashanthi, Vivek V. Datla, Svitlana Volkova, et al.. (2016). Discourse, Health and Well-Being of Military Populations Through the Social Media Lens.. National Conference on Artificial Intelligence. 3 indexed citations

11.

Hasan, Sadid A., Bo Liu, Joey Liu, et al.. (2016). Neural Clinical Paraphrase Generation with Attention. International Conference on Computational Linguistics. 42–53. 16 indexed citations

12.

Hasan, Sadid A., Siyuan Zhao, Vivek V. Datla, et al.. (2016). Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph.. Text REtrieval Conference. 4 indexed citations

13.

Datla, Vivek V., Sadid A. Hasan, Joey Liu, et al.. (2016). Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity.. Text REtrieval Conference. 3 indexed citations

14.

Nye, Benjamin D., et al.. (2014). Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining.. Educational Data Mining. 335–336. 5 indexed citations

15.

Datla, Vivek V., et al.. (2012). Social Networks are Encoded in Language. Cognitive Science. 34(34). 10 indexed citations

16.

Datla, Vivek V., et al.. (2012). From Head to Toe: Embodiment Through Statistical Linguistic Frequencies. eScholarship (California Digital Library). 34(34). 2434–2439. 6 indexed citations

17.

Datla, Vivek V., King-Ip Lin, & Max M. Louwerse. (2012). Capturing disease-symptom relations using higher-order co-occurrence algorithms. 36. 816–821. 3 indexed citations

18.

Lin, King-Ip, et al.. (2011). Using a feedback system to enhance chart note quality in Electronic Health Records. 47. 649–654. 1 indexed citations

19.

Wu, Qishi, Sajjan G. Shiva, Sankardas Roy, Charles D. Ellis, & Vivek V. Datla. (2010). On modeling and simulation of game theory-based defense mechanisms against DoS and DDoS attacks. 1–8. 42 indexed citations

20.

Franklin, Stan, et al.. (2007). LIDA: A Computational Model of Global Workspace Theory and Developmental Learning.. National Conference on Artificial Intelligence. 61–66. 32 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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