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.
Identification of parameters for embodied energy measurement: A literature review
2010538 citationsManish Dixit, José L. Fernández-Solís et al.profile →
Need for an embodied energy measurement protocol for buildings: A review paper
2012360 citationsManish Dixit, José L. Fernández-Solís et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of C. Culp'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 C. Culp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Culp more than expected).
This network shows the impact of papers produced by C. Culp. 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 C. Culp. The network helps show where C. Culp may publish in the future.
Co-authorship network of co-authors of C. Culp
This figure shows the co-authorship network connecting the top 25 collaborators of C. Culp.
A scholar is included among the top collaborators of C. Culp 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 C. Culp. C. Culp is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dixit, Manish, C. Culp, José L. Fernández-Solís, & Sarel Lavy. (2014). A FACILITY MANAGEMENT APPROACH TO REDUCING ENERGY AND CARBON FOOTPRINT OF BUILT FACILITIES.2 indexed citations
8.
Culp, C., et al.. (2010). ENERGYPLUS VS DOE-2 : THE EFFECT OF GROUND COUPLING ON HEATING AND COOLING ENERGY CONSUMPTION OF A SLAB-ON-GRADE CODE HOUSE IN A COLD CLIMATE. OAKTRUST (Texas A&M University). 4(1). 142–149.4 indexed citations
9.
Zi, Liu, Hyojin Kim, Juan-Carlos Baltazar, et al.. (2010). GOING BEYOND A RESNET CERTIFICATION FOR CODE-COMPLIANT SIMULATIONS: A COMPARISON OF DETAILED RESULTS OF THREE RESNET- CERTIFIED, CODE-COMPLIANT RESIDENTIAL SIMULATION PROGRAMS. OAKTRUST (Texas A&M University). 4(1). 277–284.2 indexed citations
10.
Haberl, J. S., et al.. (2009). Development of a Web-Based, Code-Compliant 2001 IECC Residential Simulator for Texas. OAKTRUST (Texas A&M University).1 indexed citations
11.
Culp, C., et al.. (2008). The Effects of Geometry on Flexible Duct CFD Simulations. OakTrust (Texas A&M University Libraries).1 indexed citations
12.
Liu, Zi, et al.. (2008). RECOMMENDATIONS FOR 15% ABOVE-CODE ENERGY EFFICIENCY MEASURES ON IMPLEMENTING HOUSTON AMENDMENTS TO MULTIFAMILY RESIDENTIAL BUILDINGS IN HOUSTON, TEXAS. OakTrust (Texas A&M University Libraries).1 indexed citations
13.
Montgomery, Cynthia A., et al.. (2007). Energy Efficiency/Renewable Energy Impact in the Texas Emissions Reduction Plan (TERP). OakTrust (Texas A&M University Libraries).4 indexed citations
14.
Haberl, J. S., et al.. (2007). 15% Above-Code Energy Efficiency Measures for Residential Buildings in Texas. OakTrust (Texas A&M University Libraries).1 indexed citations
Im, Piljae, et al.. (2006). Impact of the Implementation of the 2000/2001 IECC on Residential Energy Use in Texas: Analysis of Residential Energy Savings. OakTrust (Texas A&M University Libraries).
17.
Ahmad, M. Ayaz, et al.. (2005). Development of a Web-based Emissions Reduction Calculator for Code-Compliant Single-Family and Multi-Family Construction. OakTrust (Texas A&M University Libraries).4 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.