V. Suma

171 total papers · 1.5k total citations
80 papers, 696 citations indexed

About

V. Suma is a scholar working on Information Systems, Computer Networks and Communications and Software. According to data from OpenAlex, V. Suma has authored 80 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Information Systems, 28 papers in Computer Networks and Communications and 14 papers in Software. Recurrent topics in V. Suma's work include Software Engineering Research (26 papers), Software Engineering Techniques and Practices (20 papers) and Software Reliability and Analysis Research (14 papers). V. Suma is often cited by papers focused on Software Engineering Research (26 papers), Software Engineering Techniques and Practices (20 papers) and Software Reliability and Analysis Research (14 papers). V. Suma collaborates with scholars based in India, United States and Australia. V. Suma's co-authors include T. R. Gopalakrishnan Nair, Haoxiang Wang, V. Ramaswamy, Francesco Semeraro, Giovanni Lazzari, Patrizio Mazza, Salvatore De Marco, Zubair Baig, Jorge Romero and Fayzan Chaudhry and has published in prestigious journals such as European Heart Journal - Cardiovascular Imaging, SN Computer Science and International Journal of Productivity and Quality Management.

In The Last Decade

V. Suma

68 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
V. Suma	260	182	141	108	80	80	696
T. V. Prabhakar	223 0.9×	289 1.6×	297 2.1×	46 0.4×	137 1.7×	114	766
Prashant Johri	210 0.8×	140 0.8×	110 0.8×	56 0.5×	183 2.3×	124	790
Himansu Das	175 0.7×	163 0.9×	82 0.6×	85 0.8×	260 3.3×	67	765
Jian Zhang	321 1.2×	131 0.7×	62 0.4×	18 0.2×	205 2.6×	81	700
Mayank Singh	164 0.6×	94 0.5×	52 0.4×	21 0.2×	166 2.1×	106	681
Vandana Sharma	138 0.5×	98 0.5×	58 0.4×	106 1.0×	202 2.5×	120	739
Sunil L. Bangare	118 0.5×	201 1.1×	120 0.9×	39 0.4×	204 2.5×	32	715
Yang Zhang	146 0.6×	126 0.7×	38 0.3×	174 1.6×	125 1.6×	71	664
Emiliano Tramontana	276 1.1×	240 1.3×	94 0.7×	52 0.5×	265 3.3×	126	744
Ravindra C. Thool	154 0.6×	332 1.8×	97 0.7×	160 1.5×	222 2.8×	57	767

Countries citing papers authored by V. Suma

Since Specialization

Citations

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

Fields of papers citing papers by V. Suma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Suma

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