A.R. Venkatachalam

20 total papers · 708 total citations
17 papers, 513 citations indexed

About

A.R. Venkatachalam is a scholar working on Artificial Intelligence, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, A.R. Venkatachalam has authored 17 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 3 papers in Strategy and Management. Recurrent topics in A.R. Venkatachalam's work include Stock Market Forecasting Methods (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Manufacturing Process and Optimization (2 papers). A.R. Venkatachalam is often cited by papers focused on Stock Market Forecasting Methods (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Manufacturing Process and Optimization (2 papers). A.R. Venkatachalam collaborates with scholars based in United States, India and United Kingdom. A.R. Venkatachalam's co-authors include Barry Shore, Jeffrey Sohl, Joseph M. Mellichamp, David M. Miller, Jun Li, Syed Zahoor Hassan, Lech J. Janczewski, Janice M. Burn, V. Subramaniam and Tamal Bose and has published in prestigious journals such as Expert Systems with Applications, Information & Management and Computers & Operations Research.

In The Last Decade

A.R. Venkatachalam

17 papers receiving 439 citations

Author Peers

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

Author						Papers	Cites
A.R. Venkatachalam	145	127	99	88	69	17	513
Dazhi Chong	146 1.0×	99 0.8×	81 0.8×	113 1.3×	73 1.1×	25	464
Jonny Holmström	196 1.4×	142 1.1×	53 0.5×	84 1.0×	83 1.2×	20	482
Ashis K. Pani	149 1.0×	139 1.1×	83 0.8×	90 1.0×	98 1.4×	25	556
Ted Saarikko	133 0.9×	178 1.4×	66 0.7×	141 1.6×	66 1.0×	18	547
Nadja Damij	163 1.1×	100 0.8×	68 0.7×	52 0.6×	47 0.7×	37	484
John Loonam	159 1.1×	166 1.3×	163 1.6×	113 1.3×	56 0.8×	15	508
Khuram Shahzad	131 0.9×	211 1.7×	76 0.8×	61 0.7×	55 0.8×	37	504
Catherine Marinagi	164 1.1×	131 1.0×	133 1.3×	58 0.7×	64 0.9×	27	539
Shahriar Sajib	152 1.0×	111 0.9×	80 0.8×	53 0.6×	101 1.5×	14	559
Vlad Krotov	228 1.6×	124 1.0×	143 1.4×	52 0.6×	88 1.3×	29	577

Countries citing papers authored by A.R. Venkatachalam

Since Specialization

Citations

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

Fields of papers citing papers by A.R. Venkatachalam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.R. Venkatachalam. 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 A.R. Venkatachalam. The network helps show where A.R. Venkatachalam may publish in the future.

Co-authorship network of co-authors of A.R. Venkatachalam

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