Alexei A. Lapkin

10.3k citations
201 papers · 7.6k indexed · 4 hit papers · h-index 46

Alexei A. Lapkin

194 papers receiving 7.5k citations

Hit Papers

A Brief I...2382004202620112018200400600

Peers

Alexei A. Lapkin
Comparison fields: 5 of 176
  • Catalysis 834
  • Renewable Energy, Sustainability and the Environment 1.6k
  • Process Chemistry and Technology 198
  • Materials Chemistry 2.9k
  • Biomedical Engineering 2.6k
Replace Claire S. Adjiman with:
Claire S. Adjiman United Kingdom
Christos T. Maravelias United States
Kai Sundmacher Germany
Kevin M. Van Geem Belgium
John M. Woodley Denmark
Richard A. Bourne United Kingdom
Rafiqul Gani Denmark
Luis Ricardez‐Sandoval Canada
Alexander Mitsos Germany
Abdullah G. Al‐Sehemi Saudi Arabia
Alexei A. Lapkin relative to Claire S. Adjiman United Kingdom Claire S. Adjiman's profile →
Citations per field
00.5×1.5×2.4×
Claire S. Adjiman · 1×
Citations per year

Countries citing papers authored by Alexei A. Lapkin

Since Specialization
Citations

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

Fields of papers citing papers by Alexei A. Lapkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexei A. Lapkin. 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 Alexei A. Lapkin. The network helps show where Alexei A. Lapkin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20252
4 20251
5 20250
6 20252
7 20242
8 202342
9
A Brief Introduction to Chemical Reaction Optimizationbreakdown →
2023238
10 202325
11 20235
12 202364
13 20237
14 20232
15 202234
16 202240
17 202125
18 202133
19 201611
20 201639

About Alexei A. Lapkin

Alexei A. Lapkin is a scholar working on Catalysis, Process Chemistry and Technology and Computational Theory and Mathematics, having authored 201 papers that have together received 7.6k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (36 papers), Computational Drug Discovery Methods (31 papers), Machine Learning in Materials Science (29 papers), Process Optimization and Integration (29 papers), Catalytic Processes in Materials Science (26 papers), Chemistry and Chemical Engineering (18 papers), Catalysis and Oxidation Reactions (13 papers) and CO2 Reduction Techniques and Catalysts (12 papers). The work is most often cited by research in Catalysis (834 citations), Renewable Energy, Sustainability and the Environment (1.6k citations) and Process Chemistry and Technology (198 citations). Alexei A. Lapkin has collaborated with scholars based in United Kingdom, Singapore and Germany. Frequent co-authors include Dmitry V. Bavykin, Frank C. Walsh, Artur M. Schweidtmann, Paweł Pluciński, Valentin N. Parmon, Yulong Ding, Haisheng Chen, Eric Bradford, Jens M. Friedrich and Xiaolei Fan. Their work appears in journals such as Chemical Reviews, Chemical Society Reviews and Angewandte Chemie International Edition.

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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