Vishwanadham Mandala

63 total papers · 685 total citations
36 papers, 251 citations indexed

About

Vishwanadham Mandala is a scholar working on Information Systems, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Vishwanadham Mandala has authored 36 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Artificial Intelligence and 5 papers in Mechanical Engineering. Recurrent topics in Vishwanadham Mandala's work include Hydrology and Watershed Management Studies (4 papers), IoT and GPS-based Vehicle Safety Systems (4 papers) and Hydraulic flow and structures (3 papers). Vishwanadham Mandala is often cited by papers focused on Hydrology and Watershed Management Studies (4 papers), IoT and GPS-based Vehicle Safety Systems (4 papers) and Hydraulic flow and structures (3 papers). Vishwanadham Mandala collaborates with scholars based in United States, United Kingdom and India. Vishwanadham Mandala's co-authors include Hazi Mohammad Azamathulla, Upaka Rathnayake, Namal Rathnayake, Abbas Parsaie, Yukinobu Hoshino, Kiran Tota‐Maharaj, S. Suganyadevi, Aaron Anil Chadee, R. Dhanapal and Amin Gharehbaghi and has published in prestigious journals such as Sensors, Water and Results in Engineering.

In The Last Decade

Vishwanadham Mandala

25 papers receiving 188 citations

Author Peers

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

Author						Papers	Cites
Vishwanadham Mandala	43	39	35	35	31	36	251
Haowen Xu	39 0.9×	24 0.6×	23 0.7×	11 0.3×	22 0.7×	32	311
Nicolas Verstaevel	46 1.1×	38 1.0×	20 0.6×	15 0.4×	19 0.6×	16	282
Chao Liu	58 1.3×	16 0.4×	17 0.5×	20 0.6×	75 2.4×	24	289
Su-Kit Tang	48 1.1×	50 1.3×	41 1.2×	6 0.2×	29 0.9×	65	330
Marian Rybanský	77 1.8×	17 0.4×	30 0.9×	36 1.0×	10 0.3×	35	317
Yao-Jan Wu	17 0.4×	21 0.5×	62 1.8×	23 0.7×	11 0.4×	30	299
Sriram Sankaranarayanan	20 0.5×	63 1.6×	36 1.0×	8 0.2×	34 1.1×	26	282
Yu Bai	37 0.9×	27 0.7×	13 0.4×	63 1.8×	9 0.3×	31	302
José L. Castillo	15 0.3×	48 1.2×	9 0.3×	14 0.4×	36 1.2×	45	296
Fuhao Zhang	36 0.8×	20 0.5×	11 0.3×	9 0.3×	21 0.7×	31	299

Countries citing papers authored by Vishwanadham Mandala

Since Specialization

Citations

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

Fields of papers citing papers by Vishwanadham Mandala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishwanadham Mandala

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