Pekka Mark

5.4k citations
11 papers · 4.0k · 1 hit paper · h-index 9

Impact in

Papers in

Pekka Mark

11 papers receiving 3.9k citations

Pekka Mark's Hit Papers

Structure and Dynamics of the TIP3P, SPC, and SPC/E Water Models at 298 K 2001 · 3.3k citations
3.3k0+8+16Years since publication10002.0k3.0k

Peers

Pekka Mark
Comparison fields: 5 of 143
  • Computational Theory and Mathematics 509
  • Molecular Biology 1.9k
  • Filtration and Separation 51
  • Physical and Theoretical Chemistry 173
  • Organic Chemistry 467
Replace Ricardo L. Mancera with:
Ricardo L. Mancera Australia
Felice C. Lightstone United States
Michel A. Cuendet Switzerland
Alpeshkumar K. Malde Australia
Supot Hannongbua Thailand
Rossen Apostolov Sweden
Yujie Wu China
D. B. Jack Canada
Daan P. Geerke Netherlands
Shan Zhong United States
Pekka Mark relative to Ricardo L. Mancera Australia Ricardo L. Mancera's profile →
Citations per field
00.5×3.5×
Ricardo L. Mancera · 1×
Citations per year

Countries citing papers authored by Pekka Mark

Since Specialization
Citations

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

Fields of papers citing papers by Pekka Mark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Pekka Mark, 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 Pekka Mark Line = papers co-authored together Pekka Mark links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Structure and Dynamics of the TIP3P, SPC, and SPC/E Water Models at 298 K
Hit paper breakdown →
20013291
2 2004385
3 2002138
4 200852
5 200227
6 200118
7 200717
8 200710
9 20118
10 20063
11 20073

About Pekka Mark

Pekka Mark is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Spectroscopy, Condensed Matter Physics and Biotechnology, having authored 11 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Theoretical and Computational Physics (2 papers), Advanced Chemical Physics Studies (2 papers), Signaling Pathways in Disease (2 papers), Enzyme Production and Characterization (2 papers), Chemical Synthesis and Analysis (2 papers) and Advanced NMR Techniques and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (509 citations), Molecular Biology (1.9k citations), Filtration and Separation (51 citations), Physical and Theoretical Chemistry (173 citations) and Organic Chemistry (467 citations). Pekka Mark has collaborated with scholars based in Sweden, France and Germany. Frequent co-authors include Lennart Nilsson, Andreas Ruepp, Hans‐Werner Mewes, Štefan Kováč, Dmitrij Frishman, Corinna Montrone, Volker Stümpflen, Goar Frishman, Philipp Pagel and Barbara Brauner. Their work appears in journals such as The Journal of Physical Chemistry B, The Journal of Physical Chemistry A, Journal of Computational Chemistry, Molecular Simulation and Journal of Chemical Theory and Computation.

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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