Igor Griva

1.1k citations
49 papers · 764 · h-index 12

Impact in

Papers in

Igor Griva

48 papers receiving 729 citations

Peers

Igor Griva
Comparison fields: 5 of 120
  • Numerical Analysis 104
  • Electrochemistry 92
  • Computational Theory and Mathematics 103
  • Environmental Engineering 78
  • Electrical and Electronic Engineering 273
Replace Daniel J. Bates with:
Daniel J. Bates United States
Huan Su China
Liping Zhang China
Xudong Chen United States
Zuowei Zhang China
Qianxiao Li Singapore
Joel A. Paulson United States
Huan Zhang China
Xingwen Liu China
Igor Griva relative to Daniel J. Bates United States Daniel J. Bates's profile →
Citations per field
00.5×11.1×
Daniel J. Bates · 1×
Citations per year

Countries citing papers authored by Igor Griva

Since Specialization
Citations

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

Fields of papers citing papers by Igor Griva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Igor Griva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Igor Griva Line = papers co-authored together Igor Griva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009207
2 2006106
3 200853
4 200747
5 200539
6 201529
7 200329
8 200425
9 200924
10 201522
11
Global convergence of a primal-dual interior-point method for nonlinear programming
200818
12 201713
13 201810
14 201810
15 20229
16 20049
17 20068
18 19988
19 20147
20 20116

About Igor Griva

Igor Griva is a scholar working on Electrical and Electronic Engineering, Numerical Analysis, Computational Theory and Mathematics, Molecular Biology and Electrochemistry, having authored 49 papers that have together received 764 indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (11 papers), Advanced Optimization Algorithms Research (10 papers), Electrochemical Analysis and Applications (8 papers), Photosynthetic Processes and Mechanisms (5 papers), Microbial Fuel Cells and Bioremediation (4 papers), Iterative Methods for Nonlinear Equations (4 papers), Electrochemical sensors and biosensors (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Numerical Analysis (104 citations), Electrochemistry (92 citations), Computational Theory and Mathematics (103 citations), Environmental Engineering (78 citations) and Electrical and Electronic Engineering (273 citations). Igor Griva has collaborated with scholars based in United States, South Korea and Kazakhstan. Frequent co-authors include Stephen G. Nash, Ariela Sofer, Nikolai Lebedev, Roman A. Polyak, Joel M. Schnur, Scott A. Trammell, Anthony Spano, Stanislav Tsoi, Leonard M. Tender and Anders Blom. Their work appears in journals such as The Journal of Physical Chemistry C, Optimization and Engineering, Bioinformatics, Photochemistry and Photobiology and Atmosphere.

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.

Explore authors with similar magnitude of impact