Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Higgs Boson studies at future particle colliders
2020196 citationsJ. D’Hondt et al.Journal of High Energy Physicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of J. D’Hondt'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 J. D’Hondt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. D’Hondt more than expected).
This network shows the impact of papers produced by J. D’Hondt. 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 J. D’Hondt. The network helps show where J. D’Hondt may publish in the future.
Co-authorship network of co-authors of J. D’Hondt
This figure shows the co-authorship network connecting the top 25 collaborators of J. D’Hondt.
A scholar is included among the top collaborators of J. D’Hondt based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with J. D’Hondt. J. D’Hondt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Malik, S., I. P. J. Shipsey, R. Cavanaugh, et al.. (2014). CMS Analysis School Model. Journal of Physics Conference Series. 513(6). 62029–62029.2 indexed citations
Colling, D., F. Fanzago, J. D’Hondt, et al.. (2010). CMS analysis operations. Journal of Physics Conference Series. 219(7). 72007–72007.6 indexed citations
8.
D’Hondt, J.. (2010). Studies of Top Tagging Algorithms. VUBIR (Vrije Universiteit Brussel).1 indexed citations
9.
D’Hondt, J., et al.. (2010). Selection of Top-Like Events in the Dilepton and Lepton-plus-Jets Channels in Early 7 TeV Data. VUBIR (Vrije Universiteit Brussel).1 indexed citations
10.
D’Hondt, J., et al.. (2007). Plans for Jet Energy Corrections at CMS. VUBIR (Vrije Universiteit Brussel).1 indexed citations
11.
Mulders, P. Van, J. D’Hondt, J. Heyninck, & S. Lowette. (2006). Observablity of same-charge lepton topology in di-leptonic t/t bar events.
12.
Lowette, S., et al.. (2006). Offline Calibration of b-jet Identification Efficiencies. CERN Bulletin.3 indexed citations
Heyninck, J., S. Lowette, & J. D’Hondt. (2006). Top quark mass measurement in single leptonic t anti-t events.
15.
Chabanat, E., J. D’Hondt, Nicolas Estre, et al.. (2005). Vertex reconstruction in CMS. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 549(1-3). 188–191.4 indexed citations
16.
D’Hondt, J., F.-P. Schilling, Luc Pape, et al.. (2005). Fitting of Event Topologies with External Kinematic Constraints in CMS. CERN Bulletin.8 indexed citations
17.
Collard, C., et al.. (2004). Physics at the Large Hadron Collider. VUBIR (Vrije Universiteit Brussel).1 indexed citations
18.
D’Hondt, J.. (2004). Colour reconnection at LEP2. The European Physical Journal C. 33(S1). s697–s699.1 indexed citations
19.
D’Hondt, J., R. Frühwirth, P. Vanlaer, & W. Waltenberger. (2004). Sensitivity of robust vertex fitting algorithms. IEEE Transactions on Nuclear Science. 51(5). 2037–2044.6 indexed citations
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.