Abhinav Parate

21 total papers · 608 total citations
14 papers, 448 citations indexed

About

Abhinav Parate is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Abhinav Parate has authored 14 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Abhinav Parate's work include Context-Aware Activity Recognition Systems (3 papers), Green IT and Sustainability (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Abhinav Parate is often cited by papers focused on Context-Aware Activity Recognition Systems (3 papers), Green IT and Sustainability (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Abhinav Parate collaborates with scholars based in United States, India and Germany. Abhinav Parate's co-authors include Deepak Ganesan, Meng‐Chieh Chiu, Evangelos Kalogerakis, Benjamin M. Marlin, Matthias Böhmer, David Chu, Annamalai Natarajan, Edward Gaiser, Robert T. Malison and Gerome Miklau and has published in prestigious journals such as Drug and Alcohol Dependence, PubMed and University of Massachusetts (UMass) Amherst.

In The Last Decade

Abhinav Parate

12 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
Abhinav Parate	177	131	120	85	78	14	448
Julián Ramos	123 0.7×	148 1.1×	79 0.7×	75 0.9×	61 0.8×	12	476
Chungkuk Yoo	158 0.9×	169 1.3×	77 0.6×	191 2.2×	53 0.7×	25	524
Younghyun Ju	173 1.0×	204 1.6×	174 1.4×	66 0.8×	42 0.5×	18	445
Vigneshwaran Subbaraju	125 0.7×	226 1.7×	102 0.8×	51 0.6×	63 0.8×	33	551
Stefano Alletto	110 0.6×	246 1.9×	115 1.0×	68 0.8×	50 0.6×	18	449
Josh Bers	101 0.6×	89 0.7×	199 1.7×	116 1.4×	200 2.6×	9	540
Jens Weppner	129 0.7×	153 1.2×	70 0.6×	125 1.5×	22 0.3×	16	480
Aveek Purohit	218 1.2×	92 0.7×	185 1.5×	33 0.4×	34 0.4×	21	454
Zi Wang	194 1.1×	80 0.6×	226 1.9×	54 0.6×	91 1.2×	24	527
Haojian Jin	171 1.0×	102 0.8×	44 0.4×	125 1.5×	86 1.1×	29	506

Countries citing papers authored by Abhinav Parate

Since Specialization

Citations

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

Fields of papers citing papers by Abhinav Parate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Parate

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Parate. A scholar is included among the top collaborators of Abhinav Parate 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 Abhinav Parate. Abhinav Parate 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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