V. N. Kiva

8 total papers · 444 total citations
7 papers, 347 citations indexed

About

V. N. Kiva is a scholar working on Control and Systems Engineering, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, V. N. Kiva has authored 7 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 4 papers in Biomedical Engineering and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in V. N. Kiva's work include Process Optimization and Integration (7 papers), Phase Equilibria and Thermodynamics (4 papers) and Advanced Control Systems Optimization (4 papers). V. N. Kiva is often cited by papers focused on Process Optimization and Integration (7 papers), Phase Equilibria and Thermodynamics (4 papers) and Advanced Control Systems Optimization (4 papers). V. N. Kiva collaborates with scholars based in Norway and Russia. V. N. Kiva's co-authors include Sigurd Skogestad, Manfred Morari and George A. Meski and has published in prestigious journals such as Chemical Engineering Science, AIChE Journal and Computers & Chemical Engineering.

In The Last Decade

V. N. Kiva

7 papers receiving 340 citations

Author Peers

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

Author						Papers	Cites
V. N. Kiva	307	111	108	48	46	7	347
David B. Van Dongen	310 1.0×	128 1.2×	82 0.8×	30 0.6×	41 0.9×	9	358
Jürgen Bausa	316 1.0×	88 0.8×	115 1.1×	104 2.2×	36 0.8×	12	400
Oliver M. Wahnschafft	314 1.0×	134 1.2×	51 0.5×	32 0.7×	36 0.8×	10	326
D.C. Freshwater	152 0.5×	50 0.5×	123 1.1×	54 1.1×	35 0.8×	14	337
Sven Kossack	284 0.9×	59 0.5×	78 0.7×	66 1.4×	31 0.7×	5	323
Bernd Bessling	262 0.9×	62 0.6×	95 0.9×	46 1.0×	8 0.2×	11	299
Robert S. Huss	287 0.9×	72 0.6×	72 0.7×	46 1.0×	13 0.3×	10	323
Frances E. Pereira	87 0.3×	40 0.4×	179 1.7×	111 2.3×	56 1.2×	9	308
George A. Meski	292 1.0×	64 0.6×	66 0.6×	39 0.8×	53 1.2×	15	334
Alexey V. Kruglov	106 0.3×	120 1.1×	134 1.2×	73 1.5×	10 0.2×	12	328

Countries citing papers authored by V. N. Kiva

Since Specialization

Citations

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

Fields of papers citing papers by V. N. Kiva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. N. Kiva

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