Golokesh Santra

1.2k total citations · 1 hit paper
19 papers, 859 citations indexed

About

Golokesh Santra is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Golokesh Santra has authored 19 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 8 papers in Materials Chemistry and 6 papers in Spectroscopy. Recurrent topics in Golokesh Santra's work include Advanced Chemical Physics Studies (13 papers), Machine Learning in Materials Science (6 papers) and Advanced NMR Techniques and Applications (5 papers). Golokesh Santra is often cited by papers focused on Advanced Chemical Physics Studies (13 papers), Machine Learning in Materials Science (6 papers) and Advanced NMR Techniques and Applications (5 papers). Golokesh Santra collaborates with scholars based in Israel, Germany and United States. Golokesh Santra's co-authors include Jan M. L. Martin, Nitai Sylvetsky, Minsik Cho, Irena Efremenko, Nisha Mehta, Amir Karton, Axel D. Becke, Frank De Proft, Ambar Banerjee and Mercedes Alonso and has published in prestigious journals such as The Journal of Chemical Physics, Physical Chemistry Chemical Physics and Chemistry - A European Journal.

In The Last Decade

Golokesh Santra

18 papers receiving 847 citations

Hit Papers

Minimally Empirical Double-Hybrid Functionals Trained aga... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Golokesh Santra Israel 13 490 292 203 191 180 19 859
Nitai Sylvetsky Israel 9 520 1.1× 316 1.1× 233 1.1× 193 1.0× 158 0.9× 12 857
Benjamin Helmich‐Paris Germany 15 600 1.2× 298 1.0× 142 0.7× 185 1.0× 187 1.0× 23 986
Jorge M. del Campo Mexico 14 432 0.9× 389 1.3× 248 1.2× 133 0.7× 91 0.5× 39 993
Eloy Ramos‐Cordoba Spain 16 430 0.9× 216 0.7× 295 1.5× 119 0.6× 173 1.0× 31 807
José Manuel Guevara‐Vela Spain 17 418 0.9× 240 0.8× 293 1.4× 180 0.9× 389 2.2× 55 878
Emil Proynov Canada 18 794 1.6× 286 1.0× 202 1.0× 216 1.1× 238 1.3× 45 1.1k
Trent M. Parker United States 8 417 0.9× 278 1.0× 208 1.0× 240 1.3× 344 1.9× 10 1.0k
Ryan M. Richard United States 18 795 1.6× 430 1.5× 164 0.8× 198 1.0× 243 1.4× 34 1.2k
Benjamin Mintz United States 10 686 1.4× 394 1.3× 285 1.4× 263 1.4× 335 1.9× 15 1.2k
Junji Seino Japan 16 503 1.0× 524 1.8× 133 0.7× 238 1.2× 115 0.6× 43 968

Countries citing papers authored by Golokesh Santra

Since Specialization
Citations

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

Fields of papers citing papers by Golokesh Santra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Golokesh Santra

This figure shows the co-authorship network connecting the top 25 collaborators of Golokesh Santra. A scholar is included among the top collaborators of Golokesh Santra 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 Golokesh Santra. Golokesh Santra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Santra, Golokesh & Dimitrios A. Pantazis. (2025). Conformational Profile of Galactose‐α‐1,3‐Galactose (α‐Gal) and Structural Basis of Its Immunological Response. Chemistry - A European Journal. 31(22). e202500050–e202500050.
2.
Santra, Golokesh, Frank Neese, & Dimitrios A. Pantazis. (2024). Extensive reference set and refined computational protocol for calculations of 57Fe Mössbauer parameters. Physical Chemistry Chemical Physics. 26(35). 23322–23334. 6 indexed citations
3.
Becke, Axel D., Golokesh Santra, & Jan M. L. Martin. (2023). A double-hybrid density functional based on good local physics with outstanding performance on the GMTKN55 database. The Journal of Chemical Physics. 158(15). 13 indexed citations
4.
Mehta, Nisha, Golokesh Santra, & Jan M. L. Martin. (2023). Is explicitly correlated double-hybrid density functional theory advantageous for vibrational frequencies?. Canadian Journal of Chemistry. 101(9). 656–663. 3 indexed citations
5.
Santra, Golokesh, et al.. (2022). S66x8 noncovalent interactions revisited: new benchmark and performance of composite localized coupled-cluster methods. Physical Chemistry Chemical Physics. 24(41). 25555–25570. 27 indexed citations
6.
Santra, Golokesh & Jan M. L. Martin. (2022). Performance of Localized-Orbital Coupled-Cluster Approaches for the Conformational Energies of Longer n-Alkane Chains. The Journal of Physical Chemistry A. 126(50). 9375–9391. 9 indexed citations
7.
Santra, Golokesh & Jan M. L. Martin. (2022). Do Double-Hybrid Functionals Benefit from Regularization in the PT2 Term? Observations from an Extensive Benchmark. The Journal of Physical Chemistry Letters. 13(15). 3499–3506. 17 indexed citations
8.
Santra, Golokesh, et al.. (2022). S66 noncovalent interactions benchmark re-examined: Composite localized coupled cluster approaches. AIP conference proceedings. 2814. 20016–20016. 4 indexed citations
9.
Santra, Golokesh, et al.. (2022). Benefits of Range-Separated Hybrid and Double-Hybrid Functionals for a Large and Diverse Data Set of Reaction Energies and Barrier Heights. The Journal of Physical Chemistry A. 126(32). 5492–5505. 31 indexed citations
10.
Santra, Golokesh & Jan M. L. Martin. (2021). What Types of Chemical Problems Benefit from Density-Corrected DFT? A Probe Using an Extensive and Chemically Diverse Test Suite. Journal of Chemical Theory and Computation. 17(3). 1368–1379. 45 indexed citations
11.
Santra, Golokesh, et al.. (2021). Exploring Avenues beyond Revised DSD Functionals: II. Random-Phase Approximation and Scaled MP3 Corrections. The Journal of Physical Chemistry A. 125(21). 4628–4638. 13 indexed citations
12.
Santra, Golokesh, et al.. (2021). Surprisingly Good Performance of XYG3 Family Functionals Using a Scaled KS-MP3 Correlation. The Journal of Physical Chemistry Letters. 12(38). 9368–9376. 11 indexed citations
13.
Santra, Golokesh, Minsik Cho, & Jan M. L. Martin. (2021). Exploring Avenues beyond Revised DSD Functionals: I. Range Separation, with xDSD as a Special Case. The Journal of Physical Chemistry A. 125(21). 4614–4627. 41 indexed citations
15.
Woller, Tatiana, Ambar Banerjee, Nitai Sylvetsky, et al.. (2020). Performance of Electronic Structure Methods for the Description of Hückel–Möbius Interconversions in Extended π-Systems. The Journal of Physical Chemistry A. 124(12). 2380–2397. 22 indexed citations
16.
Cho, Minsik, et al.. (2020). The Atomic Partial Charges Arboretum: Trying to See the Forest for the Trees. ChemPhysChem. 21(8). 688–696. 66 indexed citations
17.
Martin, Jan M. L. & Golokesh Santra. (2019). Empirical Double‐Hybrid Density Functional Theory: A ‘Third Way’ in Between WFT and DFT. Israel Journal of Chemistry. 60(8-9). 787–804. 154 indexed citations
18.
Santra, Golokesh & Jan M. L. Martin. (2019). Some observations on the performance of the most recent exchange-correlation functionals for the large and chemically diverse GMTKN55 benchmark. AIP conference proceedings. 23 indexed citations
19.
Santra, Golokesh, Nitai Sylvetsky, & Jan M. L. Martin. (2019). Minimally Empirical Double-Hybrid Functionals Trained against the GMTKN55 Database: revDSD-PBEP86-D4, revDOD-PBE-D4, and DOD-SCAN-D4. The Journal of Physical Chemistry A. 123(24). 5129–5143. 357 indexed citations breakdown →

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

Rankless by CCL
2026