Srinivas Pykl

11 total papers · 514 total citations
6 papers, 233 citations indexed

About

Srinivas Pykl is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Srinivas Pykl has authored 6 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Srinivas Pykl's work include Natural Language Processing Techniques (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Topic Modeling (2 papers). Srinivas Pykl is often cited by papers focused on Natural Language Processing Techniques (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Topic Modeling (2 papers). Srinivas Pykl collaborates with scholars based in India, Norway and United States. Srinivas Pykl's co-authors include Amitava Das, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, Parth Patwa, Chhavi Sharma, William G. Scott, P. Viswanath, Gustavo Aguilar and Sudipta Kar and has published in prestigious journals such as IEEE Computational Intelligence Magazine.

In The Last Decade

Srinivas Pykl

5 papers receiving 216 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Srinivas Pykl	210	54	49	32	16	6	233
Yen-Hao Huang	149 0.7×	29 0.5×	32 0.7×	25 0.8×	9 0.6×	13	208
Geetanjali Garg	247 1.2×	32 0.6×	22 0.4×	69 2.2×	19 1.2×	7	316
Antonio Feraco	189 0.9×	50 0.9×	28 0.6×	43 1.3×	5 0.3×	6	263
Dimitar Dimitrov	168 0.8×	116 2.1×	35 0.7×	42 1.3×	15 0.9×	10	192
Alison K. Huettner	278 1.3×	28 0.5×	17 0.3×	58 1.8×	13 0.8×	10	325
Ashraf Kamal	179 0.9×	20 0.4×	18 0.4×	48 1.5×	23 1.4×	8	210
Elvis Saravia	195 0.9×	21 0.4×	86 1.8×	34 1.1×	9 0.6×	13	266
Radhakrishnan Srikanth	223 1.1×	21 0.4×	37 0.8×	33 1.0×	45 2.8×	7	291
Samira Zad	200 1.0×	48 0.9×	22 0.4×	85 2.7×	24 1.5×	11	295
Hamed Firooz	144 0.7×	91 1.7×	20 0.4×	32 1.0×	8 0.5×	12	168

Countries citing papers authored by Srinivas Pykl

Since Specialization

Citations

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

Fields of papers citing papers by Srinivas Pykl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Srinivas Pykl. 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 Srinivas Pykl. The network helps show where Srinivas Pykl may publish in the future.

Co-authorship network of co-authors of Srinivas Pykl

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

All Works

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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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