P. Love

15.6k citations
4 papers · 13 · h-index 2

Impact in

Papers in

P. Love

4 papers receiving 13 citations

Peers

P. Love
Comparison fields: 5 of 5
  • Information Systems and Management 10
  • Computer Networks and Communications 12
  • Hardware and Architecture 2
  • Nuclear and High Energy Physics 3
  • Astronomy and Astrophysics 1
Replace B. Jayatilaka with:
B. Jayatilaka United States
A. Melo Italy
M. Klute Sweden
T. Javůrek Switzerland
D. van der Ster Switzerland
R. Di Maria Switzerland
W. Bacchi Italy
A. Zarochentsev Russia
Ivan Glushkov United States
Christoph Wissing Germany
P. Love relative to B. Jayatilaka United States B. Jayatilaka's profile →
Citations per field
00.5×
B. Jayatilaka · 1×
Citations per year

Countries citing papers authored by P. Love

Since Specialization
Citations

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

Fields of papers citing papers by P. Love

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1 201410
2
Search for direct production of electroweakinos in final states with one lepton, missing transverse momentum and a Higgs boson decaying into two b-jets in pp collisions at √s=13 TeV with the ATLAS detector:European Physical Journal C
20201
3
Evidence for tt¯ tt¯ production in the multilepton final state in proton–proton collisions at √s=13 TeV with the ATLAS detector:European Physical Journal C
20201
4
Search for squarks and gluinos in final states with same-sign leptons and jets using 139 fb−1 of data collected with the ATLAS detector:Journal of High Energy Physics
20201

About P. Love

P. Love is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 13 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (2 papers), High-Energy Particle Collisions Research (2 papers), Distributed and Parallel Computing Systems (1 paper), Advanced Data Storage Technologies (1 paper), Dark Matter and Cosmic Phenomena (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Information Systems and Management (10 citations), Computer Networks and Communications (12 citations), Hardware and Architecture (2 citations), Nuclear and High Energy Physics (3 citations) and Astronomy and Astrophysics (1 citation). P. Love has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include John Hover, K. De, R. Walker, Jose Caballero Bejar, T. Maeno, Ramón Llamas, T. Wenaus, E. V. Bouhova-Thacker, M. R. Yexley and H. Fox. Their work appears in journals such as Journal of Physics Conference Series.

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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