Kate Pitt

570 citations
23 papers · 493 · h-index 12

Impact in

Papers in

Kate Pitt

20 papers receiving 476 citations

Peers

Kate Pitt
Comparison fields: 5 of 81
  • Water Science and Technology 101
  • Computational Mechanics 151
  • Pharmaceutical Science 36
  • Biomaterials 70
  • Biomedical Engineering 210
Replace Н. Н. Кулов with:
Н. Н. Кулов Russia
Reinhard Polke Germany
Yogesh M. Harshe Switzerland
W. Podgórska Poland
Guangxiang He China
S.J. Peng United Kingdom
Jingdai Wang China
Akira Yasunishi Japan
Marcin Lemanowicz Poland
S. Wroński Poland
Kate Pitt relative to Н. Н. Кулов Russia Н. Н. Кулов's profile →
Citations per field
00.5×2.8×
Н. Н. Кулов · 1×
Citations per year

Countries citing papers authored by Kate Pitt

Since Specialization
Citations

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

Fields of papers citing papers by Kate Pitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 197289
3 201656
4 200241
5 197439
6 201637
7 201224
8 197022
9 201915
10 201315
11 201213
12 201911
13 19708
14 20238
15 20036
16 20144
17 20184
18 20194
19 20001
20 20151

About Kate Pitt

Kate Pitt is a scholar working on Materials Chemistry, Computational Mechanics, Water Science and Technology, Biomaterials and Biomedical Engineering, having authored 23 papers that have together received 493 indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (9 papers), Granular flow and fluidized beds (8 papers), Minerals Flotation and Separation Techniques (7 papers), Calcium Carbonate Crystallization and Inhibition (5 papers), Microencapsulation and Drying Processes (3 papers), Fluid Dynamics and Mixing (3 papers), Fluid Dynamics and Heat Transfer (3 papers) and Clay minerals and soil interactions (2 papers). The work is most often cited by research in Water Science and Technology (101 citations), Computational Mechanics (151 citations), Pharmaceutical Science (36 citations), Biomaterials (70 citations) and Biomedical Engineering (210 citations). Kate Pitt has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Donald E. Brown, Rachel M. Smith, James D. Litster, Michael J. Hounslow, Brigid R. Heywood, Kanjakha Pal, Zoltán K. Nagy, Ramón Peña, Robert A. Jackson and G.A. Davies. Their work appears in journals such as Powder Technology, Chemical Engineering Science, Journal of Crystal Growth, AIChE Journal and NDT & E International.

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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