Anand Narayanan Krishnamoorthy

701 citations
15 papers · 521 indexed · h-index 11

Anand Narayanan Krishnamoorthy

14 papers receiving 514 citations

Peers

Anand Narayanan Krishnamoorthy
Comparison fields: 5 of 66
  • Filtration and Separation 29
  • Catalysis 61
  • Fluid Flow and Transfer Processes 39
  • Materials Chemistry 295
  • Automotive Engineering 70
Replace E. S. McGarrity with:
E. S. McGarrity United States
Min Young Ha South Korea
Tobias Morawietz United States
Saber Naserifar United States
Kristof M. Bal Belgium
M. Todd Knippenberg United States
Derek Frydel Chile
Sigbjørn Løland Bore Norway
Travis D. Boone United States
James Chapman United States
Anand Narayanan Krishnamoorthy relative to E. S. McGarrity United States E. S. McGarrity's profile →
Citations per field
00.5×10×14×
E. S. McGarrity · 1×
Citations per year

Countries citing papers authored by Anand Narayanan Krishnamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by Anand Narayanan Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anand Narayanan Krishnamoorthy. 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 Anand Narayanan Krishnamoorthy. The network helps show where Anand Narayanan Krishnamoorthy may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Anand Narayanan Krishnamoorthy, 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 Anand Narayanan Krishnamoorthy Line = papers co-authored together Anand Narayanan Krishnamoorthy links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20251
2 20250
3 20247
4 202410
5 20237
6 202213
7 202185
8 202139
9 202058
10 2019140
11 201843
12 201830
13 201827
14 201629
15 201432

About Anand Narayanan Krishnamoorthy

Anand Narayanan Krishnamoorthy is a scholar working on Filtration and Separation, Structural Biology and Fluid Flow and Transfer Processes, having authored 15 papers that have together received 521 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Advanced Battery Materials and Technologies (5 papers), Membrane-based Ion Separation Techniques (3 papers), Advanced Battery Technologies Research (3 papers), Thermodynamic properties of mixtures (3 papers), Chemical and Physical Properties in Aqueous Solutions (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Ionic liquids properties and applications (2 papers). The work is most often cited by research in Filtration and Separation (29 citations), Catalysis (61 citations) and Fluid Flow and Transfer Processes (39 citations). Anand Narayanan Krishnamoorthy has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Christian Holm, Jens Smiatek, Ganesh Sivaraman, Chris J. Benmore, Andreas Heuer, Marius Stan, Gábor Cśanyi, Álvaro Vázquez‐Mayagoitia, Matthias Baur and Isidora Cekić-Lasković. Their work appears in journals such as The Journal of Physical Chemistry C, Physical Chemistry Chemical Physics, Journal of Membrane Science, Advanced Energy Materials and Soft Matter.

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