Archit Datar

570 total citations
10 papers, 426 citations indexed

About

Archit Datar is a scholar working on Materials Chemistry, Inorganic Chemistry and Polymers and Plastics. According to data from OpenAlex, Archit Datar has authored 10 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 5 papers in Inorganic Chemistry and 2 papers in Polymers and Plastics. Recurrent topics in Archit Datar's work include Metal-Organic Frameworks: Synthesis and Applications (5 papers), Machine Learning in Materials Science (3 papers) and Polymer Nanocomposite Synthesis and Irradiation (2 papers). Archit Datar is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (5 papers), Machine Learning in Materials Science (3 papers) and Polymer Nanocomposite Synthesis and Irradiation (2 papers). Archit Datar collaborates with scholars based in United States, South Korea and Taiwan. Archit Datar's co-authors include Li‐Chiang Lin, Yongchul G. Chung, Xuepeng Deng, Matthew Witman, S. V. Bhoraskar, V.N. Bhoraskar, Y. Wang, Sunghyun Yoon, Prashant S. Alegaonkar and Heather J. Kulik and has published in prestigious journals such as Langmuir, The Journal of Physical Chemistry C and The Journal of Physical Chemistry Letters.

In The Last Decade

Archit Datar

10 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Archit Datar United States	8	191	125	97	96	64	10	426
Denys Grekov France	10	179 0.9×	109 0.9×	62 0.6×	103 1.1×	59 0.9×	23	431
Yraida Díaz Venezuela	11	252 1.3×	73 0.6×	75 0.8×	120 1.3×	58 0.9×	22	403
Xiaoqian Ju China	14	245 1.3×	116 0.9×	88 0.9×	235 2.4×	101 1.6×	32	534
Mégane Muschi France	6	273 1.4×	282 2.3×	55 0.6×	150 1.6×	97 1.5×	7	554
C. Scherdel Germany	10	175 0.9×	51 0.4×	82 0.8×	60 0.6×	76 1.2×	18	416
Xiaoping Su China	11	192 1.0×	58 0.5×	108 1.1×	127 1.3×	49 0.8×	48	471
Minggang Wang China	15	328 1.7×	90 0.7×	62 0.6×	173 1.8×	62 1.0×	35	672
Azhagapillai Prabhu India	14	375 2.0×	114 0.9×	109 1.1×	144 1.5×	69 1.1×	40	586
Cai-Wu Luo China	14	233 1.2×	154 1.2×	148 1.5×	91 0.9×	143 2.2×	38	523
Yuhua Wu China	10	174 0.9×	78 0.6×	117 1.2×	111 1.2×	39 0.6×	33	442

Countries citing papers authored by Archit Datar

Since Specialization

Citations

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

Fields of papers citing papers by Archit Datar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archit Datar

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Wang, Y., et al.. (2024). In Silico Screening of Metal–organic Frameworks for Water Harvesting. The Journal of Physical Chemistry C. 128(1). 384–395. 14 indexed citations

Terrones, Gianmarco, et al.. (2023). SESAMI APP: An Accessible Interface for Surface AreaCalculation of Materials from Adsorption Isotherms. The Journal of Open Source Software. 8(86). 5429–5429. 7 indexed citations

Datar, Archit, Sunghyun Yoon, Li‐Chiang Lin, & Yongchul G. Chung. (2022). Brunauer–Emmett–Teller Areas from Nitrogen and Argon Isotherms Are Similar. Langmuir. 38(38). 11631–11640. 12 indexed citations

Datar, Archit, Matthew Witman, & Li‐Chiang Lin. (2022). Responses to the comments on “Monte Carlo simulations for water adsorption in porous materials: Best practices and new insights”. AIChE Journal. 68(8). 5 indexed citations

Datar, Archit, Matthew Witman, & Li‐Chiang Lin. (2021). Improving Computational Assessment of Porous Materials for Water Adsorption Applications via Flat Histogram Methods. The Journal of Physical Chemistry C. 125(7). 4253–4266. 28 indexed citations

Datar, Archit, Matthew Witman, & Li‐Chiang Lin. (2021). Monte Carlo simulations for water adsorption in porous materials: Best practices and new insights. AIChE Journal. 67(12). 39 indexed citations

Datar, Archit, Yongchul G. Chung, & Li‐Chiang Lin. (2020). Beyond the BET Analysis: The Surface Area Prediction of Nanoporous Materials Using a Machine Learning Method. The Journal of Physical Chemistry Letters. 11(14). 5412–5417. 47 indexed citations

Datar, Archit, et al.. (2019). Surface Area Determination of Porous Materials Using the Brunauer–Emmett–Teller (BET) Method: Limitations and Improvements. The Journal of Physical Chemistry C. 123(33). 20195–20209. 241 indexed citations

Datar, Archit, et al.. (2007). Surface modification of polymers by atomic oxygen using ECR plasma. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 258(2). 345–351. 23 indexed citations

10.

Datar, Archit, et al.. (2006). Dielectric constant and surface morphology of the elemental diffused polyimide. Journal of Physics D Applied Physics. 39(22). 4855–4859. 10 indexed citations

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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